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Power Electronics : Principles, Converter Systems, and MATLAB Simulation - Pamela  Obiomon

Power Electronics

Principles, Converter Systems, and MATLAB Simulation

By: Pamela Obiomon, Samir I. Abood

Hardcover | 19 March 2027

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The purpose of this book is to provide a comprehensive understanding of the behavior of power electronics, machines, and machine drives, as well as their applications. The book begins with the study of power electronics circuits and systems. Then, it presents their applications in the various types of configurations offered in lucid detail. This book is intended for college students, both in community colleges and universities. This book presents the relationship between power electronics and electrical machines. The major goal of the book is to present a concise introduction to power electronics and machine drives that can be covered in two semesters. 1) End-to-End MATLAB® Integration for Real-World Problem Solving Every concept in the book, from power converters to electric machines, is accompanied by step-by-step MATLAB® modeling, simulation scripts, and waveform analysis. This allows students to move beyond theoretical equations and directly observe system behaviors, making it easier to master dynamic performance, control, and fault conditions. 2) The book uniquely integrates both power electronics and machine drives in a single volume, eliminating the need for multiple texts. This holistic approach mirrors real-world systems where converters and motors operate together, providing students with a complete understanding of how modern drives are designed, controlled, and optimized. 3) The book includes industrial case studies, such as vector control of induction motors, PWM inverters for motor drives, and renewable energy interfaces. These examples help students apply knowledge to solve engineering challenges, preparing them for capstone projects, lab experiments, and professional engineering roles. 4) Fault Analysis and Diagnostic Features Using AI Algorithms. Advanced chapters introduce artificial intelligence techniques (e.g., fuzzy logic, neural networks, ANFIS) for fault detection in converters and machines. This gives students an edge in predictive maintenance and condition monitoring, skills that are highly in demand in modern smart grid and industrial automation sectors. 5) Each chapter is structured with clear learning outcomes, simulation exercises, summaries, and review questions. This makes it easy for instructors to design modular courses (e.g., focusing on DC-DC converters or induction motor drives), while allowing students to self-study at their own pace, ideal for both classroom use and online/hybrid formats.

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